Angeliki Davourli
Angestellt, Data Scientist / Machine Learning Engineer, Credit Suisse
Abschluss: Master of Science, University of Edinburgh
Zurich, Schweiz
Werdegang
Berufserfahrung von Angeliki Davourli
Bis heute 5 Jahre und 11 Monate, seit Aug. 2018
Data Scientist / Machine Learning Engineer
Credit Suisse2 Jahre und 3 Monate, Juni 2014 - Aug. 2016
R&D Engineer
Nokia
• Software analysis and implementation of Flexi Network Server SGSN/MME/Cloud Flexi Network Server SGSN/MME • Code Refactoring • Code Profiling • Troubleshooting • Scripting • Test Driven Development • Deployment of CI environment • 2G/3G • Languages used: C, Python, Perl, Bash, TNSDL • Version Control Systems used: GIT, SVN • Use of Agile Methodologies for Software Development
10 Monate, Feb. 2015 - Nov. 2015
Diploma Thesis
Microprocessors and Digital Systems Lab (MicroLab), NTUA
• Design Space Exploration of Embedded Systems • High Level Synthesis using Xilinx Vivado HLS • Dynamic Memory Allocation in Embedded Systems • Analysis and Evaluation of High Performance Computing Algorithms • Linux development environment • Tools used: Xilinx Vivado HLS, Xilinx ISE • Languages used: C, Perl, VHDL • Version Control Systems used: Mercurial
10 Monate, Apr. 2014 - Jan. 2015
Student Volunteer
IEEE Engineering in Medicine and Biology Society, NTUA
Team member of Personal Relations team (organization of events, maintenance of chapter's facebook page)
1 Jahr und 3 Monate, Juni 2012 - Aug. 2013
Identification of handwriting in ancient Greece using MATLAB
Multimedia Technology Laboratory (MediaLab), NTUA
• Image processing • Tools used: MATLAB
Ausbildung von Angeliki Davourli
1 Jahr, Sep. 2016 - Aug. 2017
Computer Science
University of Edinburgh
Specialized in: Big Data Analytics, Machine learning, Natural Language Processing |Master Thesis Title: Modeling Dialogue Alignment with Encoder-decoder Neural Networks, Supervisor: Prof. Frank Keller
6 Jahre und 7 Monate, Sep. 2009 - März 2016
Electrical and Computer Engineering
National Technical University of Athens
GPA 8.16/10, top 13% of 2016 alumni| Specialization: Computer Engineering | Selected course-flows:: Computer Systems, Electronics, Electric Circuits and Materials, Waves and Telecommunications, Biomedical Engineering
Sprachen
Griechisch
Muttersprache
Englisch
Fließend
Französisch
Gut
Deutsch
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